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Turning off the "Successfully finished multiple imputation macro" message
You describe techniques for handling missing data in multi-level datasets. What about single level datasets (or datasets analysed as if they were single-level)? Stata imputation ado programs on horizon? (Or have I missed the point?)
Does the MI macro work for binary data?
Can MLWiN read in and automatically adjust parameter estimates from multiply imputed data sets created in another software program, such as PROC MI or Norm?
Analysing imputations created with another package using the ui macro with categorical covariates in the model of interest
I notice that you have included an MLwiN macro to download, to enable users to perform multiple imputation in clustered studies. Does this macro work with repeated measures data within MLwiN?
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Introduction to missing data
REALCOM Impute and Stata
Substantive model compatible FCS
DIA working group
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Book: MI & its application
Registered Users Area
Monograph: missing data in clinical trials
MLwiN macros for multiple imputation
SAS code for sensitivity analysis using multiple imputation
LEMMA Missing Data Module
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